{"id":"W2985840885","doi":"10.1145/3355089.3356488","title":"SDM-NET","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Centre for Applied Computing and Interactive Media, City University of Hong Kong; Youth Innovation Promotion Association; Natural Science Foundation of Beijing Municipality; SenseTime Group; City University of Hong Kong; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Foundation for Innovative Research Groups of the National Natural Science Foundation of China; National Natural Science Foundation of China; Tencent","keywords":"Polygon mesh; Computer science; Net (polyhedron); Autoencoder; Interpolation (computer graphics); Artificial intelligence; Set (abstract data type); Artificial neural network; Surface (topology); Computer vision; Topology (electrical circuits); Computer graphics (images); Geometry; Image (mathematics); Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005718479,0.0001039939,0.0001166049,0.0002039974,0.00005739086,0.00001393107,0.0001653678,0.00007361852,0.0003877619],"category_scores_gemma":[0.000003114591,0.00009969321,0.0001107925,0.0003781632,0.00001791383,0.00006031214,8.796457e-7,0.0002155822,0.0003300436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001205799,"about_ca_system_score_gemma":0.000003218331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001671579,"about_ca_topic_score_gemma":0.00002373515,"domain_scores_codex":[0.9994876,0.000008953955,0.000118329,0.000125113,0.0001187081,0.0001413441],"domain_scores_gemma":[0.9994329,0.00004856623,0.000008100827,0.0004435211,0.00002124387,0.00004562268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005113355,0.00004100699,0.0002184654,0.00004338782,0.0001896555,0.000001530446,0.0002188257,0.9767131,0.0009654908,0.0004695021,0.0006647373,0.02046925],"study_design_scores_gemma":[0.0007717541,0.0001514071,0.0007423184,0.0001004971,0.0002254772,0.000007497445,0.0002109434,0.9691001,0.002897012,0.01068324,0.01437133,0.0007384231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2394503,0.0002280285,0.7524788,0.0006112363,0.0006472826,0.0001023388,0.00002159005,0.0007939772,0.005666522],"genre_scores_gemma":[0.998318,0.0003012668,0.0006683514,0.0001392234,0.00002120827,0.000006689506,0.000004866155,0.000024234,0.0005161262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7588677,"threshold_uncertainty_score":0.4245721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01067763841524661,"score_gpt":0.2064223782902952,"score_spread":0.1957447398750486,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}